Effective Data Science: Delivering Impact & Value End-to-End
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 597 MB
Duration: 2 hours | Genre: eLearning | Language: English
Become an Effective Data Scientist that creates impact and delivers results with these key skills, and achieve success.

What you'll learn

What is Effective Data Science?
How to assess your current skills in Data Science?
How to identify the right skills to focus on?
What are the skills required for Effective Data Science?
How to communicate so your data products are used?
How to find and define Data Science use cases properly?
How to manage a Data Science project effectively and efficiently?
How to design good Data Science products with Quality code?
How to continuously learn and practice in the field of data science?
How to learn from Data Science Experts?
How to find and do good Data Science projects?

Requirements

Basic knowledge of data science
Prior experience in data science projects beneficial

Description

Existing education for data science (i.e., traditional programs and MOOCs) largely focus on the technical skills and tends to neglect the softer skills-in the context of data science-required for effectiveness. To address this gap, this course was created with the intent of educating data science professionals on how to be more effective.

The course is designed and structured with the adult online learner in mind, and developed based on current research in Adult Learning Theory and best practices in online education.

The course has three main sections:

Skills Assessment

What is your current skill level?

What are your existing gaps?

Which skills should you focus on?

Suggested Skills

Communication

Finding and refining use cases

Project management

Design and quality code

Continuous Learning

Finding expert mentors

Planning and doing projects

Each main section will also have simple exercises to provide opportunities for practice-this is where most of your learning will come from.

The course has a pre-planned curriculum to guide you. You can use the proposed flow and to go through the lectures and do the exercises. Alternatively, you can choose to focus on targeted areas to personalise your learning.

Note: This course will require significant drive and effort for the duration of the course, but will pay immense dividends in the long run.

Who this course is for:

Self-driven learners who will practice the exercises provided
Data science professionals with minimal prior experience
Beginners with no prior knowledge also welcome



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